Measurement of emerging neurocognitive and language skills in the HEALthy Brain and Child Development (HBCD) study.

The HEALthy Brain and Child Development (HBCD) study, a multi-site prospective longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. The study plans enrolling over 7000 families across 27 sites. This manuscript presents the measures from the Neurocognition and Language Workgroup. Constructs were selected for their importance in normative development, evidence for altered trajectories associated with environmental influences, and predictive validity for child outcomes. Evaluation of measures considered psychometric properties, brevity, and developmental and cultural appropriateness. Both performance measures and caregiver report were used wherever possible. A balance of norm-referenced global measures of development (e.g., Bayley Scales of Infant Development-4) and more specific laboratory measures (e.g., deferred imitation) are included in the HBCD study battery. Domains of assessment include sensory processing, visual-spatial reasoning, expressive and receptive language, executive function, memory, numeracy, adaptive behavior, and neuromotor. Strategies for staff training and quality control procedures, as well as anticipated measures to be added as the cohort ages, are reviewed. The HBCD study presents a unique opportunity to examine early brain and neurodevelopment in young children through a lens that accounts for prenatal exposures, health and socio-economic disparities.

Math Abilities Among Children with Neurodevelopmental Difficulties: Understanding Cognitive Factors and Evaluating a Pilot Intervention.

Math development in children relies on several underlying cognitive functions, including executive functions (EF), working memory (WM), and visual-motor abilities, such as visual-motor integration (VMI). Understanding how these cognitive factors contribute to children's math performance is critical to supporting math learning and long-term math success. The present quasi-experimental waitlist control study (N = 28) aimed to (a) examine the unique contributions of EF, WM, and VMI to math abilities among children ages 5-8 years old with neurodevelopmental difficulties; (b) determine whether a math intervention (the Mathematics Interactive Learning Experience; MILE) that supports these cognitive processes was effective when modified to be delivered to small groups in a school setting, and (c) examine whether any participant characteristics, such as age or IQ, were correlated with post-intervention math score changes. At baseline, participants' math scores were significantly below the normative mean in all math content areas (ps < .01). EF, WM, and VMI were highly correlated with math ability; however, verbal WM was the only unique predictor of math ability in regressions analysis. Compared to a waitlist control group, children in the immediate MILE intervention group achieved significantly greater math gains overall. When all children who ultimately completed the intervention were considered together, significant improvement was observed in more than half of math content areas. Furthermore, at the individual level, 85.7% of participants showed reliable change in at least one math content area. Implications for supporting math learning in children with neurodevelopmental difficulties are discussed.

Validation of the ND-PAE Diagnosis in Children with Heavy Prenatal Alcohol Exposure.

This study evaluated criteria for neurobehavioral disorder associated with prenatal alcohol exposure (ND-PAE). Kable et al. (Child Psychiatry Hum Dev 55:426, 2022) assessed the validity of this diagnosis in a sample with low exposure to alcohol. The current study expanded this assessment to a sample with a wider age range and heavier alcohol exposure. Data were collected from participants (5-17 years) with prenatal alcohol exposure (PAE) and typically developing controls at six Collaborative Initiative on Fetal Alcohol Spectrum Disorders sites using neuropsychological assessment and caregiver reports. Impairment was tested at 1SD, 1.5SD, and 2SD below the normative average and a modification of the adaptive functioning requirement was tested. Testing impairment at 1SD resulted in the highest endorsement rates in both groups. Our findings replicated the study by Kable et al. and show that current criteria captured a high rate of those with PAE and that requiring fewer adaptive functioning criteria resulted in higher sensitivity to PAE.

Validation of the ND-PAE Diagnosis in Children with Heavy Prenatal Alcohol Exposure.

This study evaluated criteria for Neurobehavioral Disorder Associated with Prenatal Alcohol Exposure (ND-PAE). Kable et al. (2022) assessed the validity of this diagnosis in a sample with low exposure to alcohol. The current study expanded this assessment to a sample with a wider age range and heavier alcohol exposure. Data were collected from participants (5-17y) with prenatal alcohol exposure (PAE) and typically developing controls at six Collaborative Initiative on Fetal Alcohol Spectrum Disorders sites using neuropsychological assessment and caregiver reports. Impairment was tested at 1SD, 1.5SD, and 2SD below the normative average and a modification of the adaptive functioning requirement was tested. Testing impairment at 1SD resulted in the highest endorsement rates in both groups. Our findings replicated the study by Kable et al. and show that current criteria captured a high rate of those with PAE and that requiring fewer adaptive functioning criteria resulted in higher sensitivity to PAE.

Machine learning approaches to the identification of children affected by prenatal alcohol exposure: A narrative review.

Fetal alcohol spectrum disorders (FASDs) affect at least 0.8% of the population globally. The diagnosis of FASD is uniquely complex, with a heterogeneous physical and neurobehavioral presentation that requires multidisciplinary expertise for diagnosis. Many researchers have begun to incorporate machine learning approaches into FASD research to identify children who are affected by prenatal alcohol exposure, including those with FASD. This narrative review highlights these efforts. Following an introduction to machine learning, we summarize examples from the literature of neurobehavioral screening tools and physiologic markers of exposure. We discuss individual efforts, including models that classify FASD based on parent-reported neurocognitive or behavioral questionnaires, 3D facial imaging, brain imaging, DNA methylation patterns, microRNA profiles, cardiac orienting response, and dysmorphic facial features. We highlight model performance and discuss the limitations of these approaches. We conclude by considering the scalability of these approaches and how these machine learning models, largely developed from clinical samples or highly exposed birth cohorts, may perform in the general population.

Polymorphisms in the choline transporter SLC44A1 are associated with reduced cognitive performance in normotypic but not prenatal alcohol-exposed children.

BACKGROUND: Choline is essential for healthy cognitive development. Single nucleotide polymorphisms (SNPs; rs3199966(G), rs2771040(G)) within the choline transporter SLC44A1 increase risk for choline deficiency. In a choline intervention trial of children who experienced prenatal alcohol exposure (PAE), these alleles are associated with improved cognition. OBJECTIVE: This study aimed to determine if SNPs within SLC44A1 are differentially associated with cognition in children with PAE compared with normotypic controls (genotype × exposure). A secondary objective tested for an association of these SNPs and cognition in controls (genotype-only). DESIGN: This is a secondary analysis of data from the Collaborative Initiative on Fetal Alcohol Spectrum Disorders. Participants (163 normotypic controls, 162 PAE) underwent psychological assessments and were genotyped within SLC44A1. Choline status was not assessed. Association analysis between genotype × exposure was performed using an additive genetic model and linear regression to identify the allelic effect. The primary outcome was the interaction between SLC44A1 genotype × exposure status with respect to cognition. The secondary outcome was the cognitive-genotype association in normotypic controls. RESULTS: Genotype × exposure analysis identified 7 SNPs in SLC44A1, including rs3199966(G) and rs2771040(G), and in strong linkage (D' ≥ 0.87), that were associated (adjusted P ≤ 0.05) with reduced performance in measures of general cognition, nonverbal and quantitative reasoning, memory, and executive function (ß, 1.92-3.91). In controls, carriers of rs3199966(GT or GG) had worsened cognitive performance than rs3199966(TT) carriers (ß, 0.46-0.83; P < 0.0001), whereas cognitive performance did not differ by rs3199966 genotype in those with PAE. CONCLUSIONS: Two functional alleles that increase vulnerability to choline deficiency, rs3199966(G) (Ser644Ala) and rs2771040(G) (3' untranslated region), are associated with worsened cognition in otherwise normotypic children. These alleles were previously associated with greater cognitive improvement in children with PAE who received supplemental choline. The findings endorse that choline benefits cognitive development in normotypic children and those with PAE.

Predicting fetal alcohol spectrum disorders in preschool-aged children from early life factors.

BACKGROUND: Early life factors, including parental sociodemographic characteristics, pregnancy exposures, and physical and neurodevelopmental features measured in infancy are associated with fetal alcohol spectrum disorders (FASD). The objective of this study was to evaluate the performance of a classifier model for diagnosing FASD in preschool-aged children from pregnancy and infancy-related characteristics. METHODS: We analyzed a prospective pregnancy cohort in Western Ukraine enrolled between 2008 and 2014. Maternal and paternal sociodemographic factors, maternal prenatal alcohol use and smoking behaviors, reproductive characteristics, birth outcomes, infant alcohol-related dysmorphic and physical features, and infant neurodevelopmental outcomes were used to predict FASD. Data were split into separate training (80%: n = 245) and test (20%: n = 58; 11 FASD, 47 no FASD) datasets. Training data were balanced using data augmentation through a synthetic minority oversampling technique. Four classifier models (random forest, extreme gradient boosting [XGBoost], logistic regression [full model] and backward stepwise logistic regression) were evaluated for accuracy, sensitivity, and specificity in the hold-out sample. RESULTS: Of 306 children evaluated for FASD, 61 had a diagnosis. Random forest models had the highest sensitivity (0.54), with accuracy of 0.86 (95% CI: 0.74, 0.94) in hold-out data. Boosted gradient models performed similarly, however, sensitivity was less than 50%. The full logistic regression model performed poorly (sensitivity = 0.18 and accuracy = 0.65), while stepwise logistic regression performed similarly to the boosted gradient model but with lower specificity. In a hold-out sample, the best performing algorithm correctly classified six of 11 children with FASD, and 44 of 47 children without FASD. CONCLUSIONS: As early identification and treatment optimize outcomes of children with FASD, classifier models from early life characteristics show promise in predicting FASD. Models may be improved through the inclusion of physiologic markers of prenatal alcohol exposure and should be tested in different samples.

Secondary physical features in children with FASD.

OBJECTIVE: The diagnoses included within the umbrella term fetal alcohol spectrum disorders (FASD), are based on the documentation of prenatal alcohol exposure (PAE), growth deficits and a pattern of dysmorphic physical features and neurobehavioral impairments. Although 3 key facial features (short palpebral fissures, a smooth philtrum and a thin vermilion of the upper lip) are the only dysmorphic features taken into account for the diagnosis of Fetal Alcohol Syndrome (FAS) or partial FAS (pFAS), several other features are commonly seen in individuals with these diagnoses. The goals of our study were to determine if some of these secondary physical features also occur more frequently in children with alcohol-related neurodevelopmental disorder (ARND) relative to controls, and if a cluster of these features combined in a dysmorphology score could be used to identify those negatively impacted by PAE but who do not have the cardinal physical features that led to a diagnosis of FAS or pFAS. METHODS: Among 2681 children recruited for the Collaboration on Fetal Alcohol Spectrum Disorders Prevalence (CoFASP) study, 1726 had an FASD or sufficient evidence of PAE having occurred or not in their pregnancy. Children were then categorized into groups using the modified Hoyme diagnostic criteria (FAS (n = 24), pFAS (n = 99) and ARND (n = 87), and No FASD (n = 1516), including those with No FASD and a history of PAE (No FASD/PAE, n = 498) and those with No FASD and no history of PAE (No FASD/No PAE, n = 1018). The frequencies of 26 secondary dysmorphic features were compared among these groups, both individually and combined in non-weighted and weighted dysmorphic scores. Correlations of the total dysmorphic scores with an index of overall cognitive ability were also compared by group status. RESULTS: Several of these features were significantly more frequent in children with FAS than in those with No FASD diagnosis with or without PAE but not in comparison to those with ARND. The number of features was also significantly higher in the FAS group as compared to all other groups for both weighted and unweighted dysmorphology scores but were not higher in the group with ARND when compared to the groups with No FASD either in the presence or absence of PAE. Although not diagnostic, higher total dysmorphology scores were predictive of lower general cognitive abilities in the group with ARND, suggesting severity of alcohol-related dysmorphology is predictive of severity of alcohol-related neurobehavioral impairment. CONCLUSION: Secondary physical features were not more frequent in children with ARND compared to children without an FASD diagnosis but were a marker for lower cognitive function. The use of secondary physical features to support a diagnosis of ARND was not supported in this sample.

Parenting by individuals with fetal alcohol spectrum disorders and neurobehavioral outcomes in their offspring.

BACKGROUND: The neurobehavioral health impairments associated with prenatal alcohol exposure are now known to persist through adulthood. However, little is known about how these impairments affect individuals' parenting abilities and the neurobehavioral health of their offspring. This study compares parents with fetal alcohol spectrum disorder (FASD) with socioeconomically matched, nonexposed parents on measures of parenting and family support and assesses the neurobehavioral health of the children in both groups. METHODS: Forty-nine parent-child dyads were recruited from a longitudinal cohort of low socioeconomic status. Measures included the Parenting Styles and Dimensions Questionnaire, Family Support Scale, an in-depth psychosocial history, the Pediatric Symptom Checklist (PSC; parent and child reports), the Achenbach Child Behavior Checklist (CBCL), a screening psychiatric evaluation of the child, the NIH Toolbox Cognition Battery for Children, The Vineland Adaptive Behavior Scales-Third Edition caregiver rating form, and the Traumatic Events Screening Inventory (parent and child reports). RESULTS: Cognitive functioning was impaired for both offspring of parents with FASD ( x ¯ = 81.1, SD = 13.0) and control parents ( x ¯ = 79.9, SD = 16.1), but despite similar impairments, children of parents with FASD were less likely to have an Individualized Education Plan than controls. Adaptive functioning was adequate for both groups ( x ¯ = 92.1, SD = 15.4 in exposed vs. x ¯ = 94.3, SD = 12.3 in controls) and CBCL and PSC scores in both groups were within normal limits. Parents in both groups showed a predominantly authoritative parenting style. Despite a similar frequency of adverse childhood experiences in both groups, parents with FASD were less likely to recognize their child's adverse experiences. CONCLUSION: Parents with FASD display notable strengths including a predominantly authoritative parenting style. However, parents with FASD underrecognize child trauma and underutilize developmental services compared to socioeconomically matched controls, despite similar neurocognitive impairments. Impairments in adaptive functioning in parents with FASD may translate into difficulties with child-parent communication and limit both insight into neurobehavioral problems and advocacy skills. There is a need to identify and support parents with FASD to optimize their parenting abilities in the context of their individual strengths and difficulties.

Identifying Prenatal Alcohol Exposure and Children Affected by It: A Review of Biomarkers and Screening Tools.

PURPOSE: Early identification of prenatal alcohol exposure (PAE) and of those in need of services resulting from this exposure is an important public health concern. This study reviewed the existing literature on potential biomarkers and screening tools of PAE and its impact. SEARCH METHODS: Electronic databases were searched for articles published between January 1, 1996, and November 30, 2021, using the following search terms: ("fetal alcohol" or "prenatal alcohol" or "FASD" or "alcohol-related neurodevelopmental disorder" or "ARND" or "ND-PAE") and ("screening" or "identification" or "biomarker"). Duplicate articles were electronically eliminated. Titles and abstracts were reviewed for appropriateness, and selected articles were retrieved for further analysis. Additional articles were added that were referenced in the reviewed articles or identified from expert knowledge. Information about the characteristics of the sample, the biomarker or screening tool, and the predictive validity outcome data were abstracted. A narrative analysis of the studies was then performed on the data. SEARCH RESULTS: A total of 3,813 articles were initially identified, and 1,215 were removed as duplicates. Of the remaining articles, 182 were identified as being within the scope of the review based on title and abstract inspection, and 181 articles were successfully retrieved. Of these, additional articles were removed because they were preclinical (3), were descriptive only (13), included only self-report of PAE (42), included only mean group comparison (17), were additional duplicates (2), focused on cost analysis (9), missed predictive validity data (24), or for other reasons (23). The remaining articles (n = 48) were abstracted. An additional 13 manuscripts were identified from these articles, and two more from expert knowledge. A total of 63 articles contributed to the review. DISCUSSION AND CONCLUSIONS: Biomarkers and screening tools of PAE and its impact fall short of ideal predictive validity characteristics. Higher specificity than sensitivity was found for many of the biomarkers and screening tools used to identify PAE and its impact, suggesting that current methods continue to under-identify the full range of individuals impacted by PAE. Exceptions to this were found in recent investigations using microRNAs related to growth and vascular development, proteomic changes associated with PAE, and combinations of markers estimating levels of various cytokines. Replications of these findings are needed across other samples to confirm the limited data available. Future research on biomarkers and screening tools should attend to feasibility and scalability of implementation. This article also recommends a systematic process of evaluation to improve early identification of individuals impacted by PAE so that harm reduction and habilitative care efforts can be implemented.

Comparison of three systems for the diagnosis of fetal alcohol spectrum disorders in a community sample.

BACKGROUND: It is estimated that 1%-5% of children in the United States are affected by prenatal alcohol exposure while only a small percentage are so identified in clinical practice. One explanation for this discrepancy may be the way in which diagnostic criteria are operationalized. METHODS: To evaluate the extent to which three commonly used systems for the diagnosis of Fetal Alcohol Spectrum Disorder (FASD) consistently identified children in a community sample, data from the Collaboration on Fetal Alcohol Spectrum Disorders Prevalence (COFASP) study were re-analyzed. In the data set, there were 2325 children with variables necessary to allow diagnosis by three systems commonly used in North America. These systems were (1) that used by COFASP, which is a revised modification of the Institute of Medicine's recommendations, (2) the 4-Digit Code, and (3) the most recent Canadian Guidelines. To determine the degree of association among these classifications, the Fleiss Multirater Kappa measure of agreement was applied. RESULTS: Among these three systems, 408 children were classified as FASD, 208 by the CoFASP system, 319 by the 4-Digit Code, and 28 by the Canadian Guidelines. Agreement among the findings from the three systems varied from slight to fair. CONCLUSIONS: These results indicate a lack of consistency in these approaches to FASD diagnosis. Discrepancies result from differences in specifying the criteria used to define the diagnosis, including growth, physical features, neurobehavior, and alcohol-use thresholds. The question of their relative accuracy cannot be resolved without reference to a measure of validity that does not currently exist, and this suggests the need for a more empirically based diagnostic schema.

Path analysis of the impact of prenatal alcohol on adult vascular function.

BACKGROUND: The vascular system may be particularly vulnerable to prenatal alcohol exposure (PAE). Alterations in angiogenesis and epigenetic changes to vascular development have been implicated as a probable mechanism for this vulnerability. METHODS: We assessed the long-term impact of prenatal alcohol exposure (PAE) on adult vascular health using a prospective cohort first identified while in utero. Participants with no PAE (n = 37, mean age = 36.7 [SD = 1.6] years) were compared to participants with PAE (n = 51, mean age = 36.3 [SD = 1.7] years). Their vascular health was assessed by arterial blood pressure (BP) and peripheral arterial tonometry, which yields an index of endothelial function (reactive hyperemia index) and a measure of arterial stiffness (augmentation index). Blood samples were collected to assess cholesterol levels and insulin resistance (glucose, hemoglobin A1C, and insulin). Path analysis was used to examine the direct and indirect effects of PAE on vascular health after adjusting for other known physical outcomes. RESULTS: Participants with a history of PAE weighed less, trended towards being shorter, had smaller body mass, and had more alcohol-related dysmorphic features than those without PAE. Path analysis suggested that the impact of PAE on BP was through its indirect relationships with height, body mass index, and dysmorphic features and resulted in protective effects relative to the Contrast group who were disproportionately overweight. PAE was also found to have a direct negative effect on endothelial function. An index of total alcohol-related dysmorphic features was negatively had both a direct effect on arterial stiffness and an indirect effect on endothelial function. CONCLUSIONS: Prenatal alcohol exposures' impact on vascular function is not independent of other common physical and environmental factors but endothelial function and arterial stiffness seemed most compromised after controlling for these other factors. Level of alcohol-related dysmorphic features seems to be predictive of more adverse effects than endothelial function and vascular stiffness.

Wireless Heart Sensor for Capturing Cardiac Orienting Response for Prediction of Neurodevelopmental Delay in Infants.

Early identification of infants at risk of neurodevelopmental delay is an essential public health aim. Such a diagnosis allows early interventions for infants that maximally take advantage of the neural plasticity in the developing brain. Using standardized physiological developmental tests, such as the assessment of neurophysiological response to environmental events using cardiac orienting responses (CORs), is a promising and effective approach for early recognition of neurodevelopmental delay. Previous CORs have been collected on children using large bulky equipment that would not be feasible for widespread screening in routine clinical visits. We developed a portable wireless electrocardiogram (ECG) system along with a custom application for IOS tablets that, in tandem, can extract CORs with sufficient physiologic and timing accuracy to reflect the well-characterized ECG response to both auditory and visual stimuli. The sensor described here serves as an initial step in determining the extent to which COR tools are cost-effective for the early screening of children to determine who is at risk of developing neurocognitive deficits and may benefit from early interventions. We demonstrated that our approach, based on a wireless heartbeat sensor system and a custom mobile application for stimulus display and data recording, is sufficient to capture CORs from infants. The COR monitoring approach described here with mobile technology is an example of a desired standardized physiologic assessment that is a cost-and-time efficient, scalable method for early recognition of neurodevelopmental delay.

Effectiveness of Psychotropic Medications in Children with Prenatal Alcohol and Drug Exposures: A Case Series and Model of Care.

Fetal Alcohol Spectrum Disorders affect up to 5% of the population, with additional children affected by prenatal drug exposures. The majority of these children display symptoms of ADHD and poor emotional dysregulation, a common reason for seeking psychiatric care. However, high prevalence of comorbid look-alike symptoms and limited availability of evidence-based treatments complicates psychiatric decision making in this population. The goal of the current study is to report on the effectiveness of psychotropic medications in a case series of 16 individuals with prenatal alcohol/drug exposure and propose a model for psychiatric care for this population. In addition to traditional subjective reports, an objective continuous performance test (T.O.V.A.®) was used to aid with guiding treatment. We found that T.O.V.A.®-scores improved on average from - 6.5 to - 2.9 with our psychiatric approach (p = 0.03). T.O.V.A.®-measurements were helpful in differentiating ADHD symptoms from comorbid symptoms and to guide decision-making on starting and changing medications.

Alcohol-related dysmorphic features as predictors of neurodevelopmental delay in infants and preschool-aged children: Results from a birth cohort in Ukraine.

BACKGROUND: Cardinal and non-cardinal dysmorphic features are associated with prenatal alcohol exposure (PAE); however, their association with neurodevelopment is less clear. The objective of this study was to determine whether alcohol-related dysmorphic features predict neurodevelopmental delay in infants and toddlers. METHODS: We analyzed a prospective pregnancy cohort in western Ukraine enrolled between 2008 and 2014. A dysmorphology examination comprising body size and three cardinal and 14 non-cardinal dysmorphic features was performed at approximately 6 to 12 months of age. PAE was self-reported and operationalized as absolute ounces of alcohol per day around the time of conception. Neurodevelopment was assessed at 6 to 12 months with the Bayley Scales of Infant Development-II (BSID-II), and at 3.5 to 4.5 years of age with the Differential Ability Scales-II, the Child Behavior Checklist, and multiple measures that were used to create an executive functioning factor score. We performed logistic regression to predict children's neurodevelopment from dysmorphic features, growth measures, sex, and PAE. RESULTS: From an analytic sample of 582 unique children, 566 had BSID-II scores in infancy, and 289 completed the preschool battery. Models with all cardinal and non-cardinal dysmorphic features, growth measures, sex, and PAE performed better than models with subsets of those inputs. In general, models had poor performance classifying delays in infancy (area under the curve (AUC) <0.7) and acceptable performance on preschool-aged outcomes (AUC ~0.75). When the sample was limited to children with moderate-to-high PAE, predictive ability improved on preschool-aged outcomes (AUC 0.76 to 0.89). Sensitivity was relatively low for all models (12% to 63%), although other metrics of performance were higher. CONCLUSION: Predictive analysis based on dysmorphic features and measures of growth performed modestly in this sample. As these features are more reliably measured than neurodevelopment at an earlier age, the inclusion of dysmorphic features and measures of growth in predictive models should be further explored and validated in different settings and populations.

Fetal alcohol spectrum disorders and access to regional center services in San Diego County.

BACKGROUND: Fetal alcohol spectrum disorders (FASD) are developmental disabilities that are estimated to occur in 2-5% of elementary school children and that negatively impact a child's ability to function without support. Timely diagnosis-informed interventions are crucial to optimizing the developmental trajectory of children with FASD. The true prevalence of FASD among children receiving services for developmental disabilities is unknown. METHODS: An FASD prevalence study was carried out between 2011 and 2014 among a sample of 5- to 7-year-old children who were receiving services provided by the California State Regional Center for Developmental Disabilities in San Diego County. Children whose parent or caregiver consented were evaluated using the Collaboration on Fetal Alcohol Spectrum Disorders Prevalence study assessment protocol and classification criteria. RESULTS: Among 216 eligible caregiver-child dyads, 44 completed assessments that were sufficient to obtain a classification for FASD, including fetal alcohol syndrome (FAS), partial FAS, alcohol-related neurodevelopmental disorder, or no fetal alcohol spectrum disorder. Fifteen children were classified as meeting the criteria for an FASD. A minimum FASD prevalence rate of 69.4 per 1000 (6.9%) among all eligible children was estimated. None of the children classified as FASD were receiving services because of an FASD diagnosis, and none had previously been diagnosed with FASD. Autism was the most common qualifying diagnosis for which children classified as FASD were receiving services. CONCLUSIONS: The 6.9% prevalence estimate among Regional Center clients was higher than the prevalence estimate of 2.3% in the same community among 5- to 7-year-old children in the general population, though the estimate was based on only 20% of eligible dyads. All children in the sample were receiving Regional Center services for another diagnosis. Barriers to eligibility for services for children with FASD may lead to less than optimum care for these children. Study findings support the facilitation of access to developmental services for children with FASD.

Characteristics of the Symptoms of the Proposed ND-PAE Disorder in First Grade Children in a Community Sample.

The proposed symptoms for Neurobehavioral Disorder Associated with Prenatal Alcohol Exposure (ND-PAE) were evaluated in children who participated in the Collaboration on Fetal Alcohol Spectrum Disorders Prevalence study. Children "at-risk" for ND-PAE (n = 204) were contrasted to children with no prenatal alcohol exposure, alcohol-related dysmorphia or growth deficits (n = 908). Symptoms were defined based on neuropsychological testing using two diagnostic threshold levels (1.0 and 1.5 STD). Individuals at risk for ND-PAE had higher endorsement rates of the self-regulation and adaptive impairments at the 1.0 threshold and of the neurocognitive and self-regulation impairments at the 1.5 threshold. Endorsement of the disorder significantly differed at the 1.0 threshold. Receiver operating characteristic curve analysis indicated that having an IQ below 70 was not predictive of the diagnosis but modifications of the IQ criterion improved predictive validity. Discrimination validity was poor without documentation of PAE which continues to be a necessity for a diagnosis of ND-PAE.

Prenatal alcohol exposure and mental health at midlife: A preliminary report on two longitudinal cohorts.

BACKGROUND: Although the effects of prenatal alcohol exposure (PAE) have been studied extensively, there is relatively little information available on adult mental health functioning among exposed individuals. The current study compares the self-reported midlife mental health status of individuals who were prenatally exposed to alcohol and diagnosed in childhood with the effects of this exposure with that of unexposed individuals. METHODS: Participants (N = 292) were recruited from two longitudinal cohorts in Atlanta and Seattle and asked to complete an Adult Health Questionnaire that surveyed their current health and mental health status. The questionnaire was completed either in-person or remotely and included questions about current symptoms of depression and anxiety and mental health disorder diagnoses. The analysis compared a Nonexposed Contrast group to those in two exposure groups: (1) Alcohol Exposed with Fetal Alcohol Effect but not meeting criteria for Fetal Alcohol Syndrome (FAS) and (2) Alcohol Affected and meeting criteria for FAS. RESULTS: Both alcohol-exposed groups reported higher levels of current depressive symptoms and a higher prevalence of diagnoses of depression, anxiety, bipolar disorder, and/or attention deficit/hyperactivity disorder. No differences were noted for psychotic disorders. PAE was also associated with greater environmental stressors, including higher levels of adverse childhood events and lower current socioeconomic status. Path analyses suggested that PAE was indirectly related to mood disorders with its effects being mediated by other environmental factors. CONCLUSIONS: PAE is associated with greater rates of mental health disorders in middle adulthood. These outcomes appear to result from multiple stressors that affect individuals made vulnerable by their early alcohol exposure. Clinical outcomes could be improved by prevention efforts directed at preventing prenatal alcohol use and reducing environmental stressors later in life, and by the early identification of PAE and its effects.

Psychopharmacological Treatments in Children with Fetal Alcohol Spectrum Disorders: A Review.

Psychiatric symptoms in children with Fetal Alcohol Spectrum Disorders (FASD) present with high prevalence and morbidity, often across symptom domains, e.g. ADHD-like symptoms, emotional dysregulation and sleep problems. Polypharmacy is often used, but no empirically-based guidelines exist regarding optimal treatment for these children. Moreover, stimulant use in these children is controversial as their responsiveness may be different due to altered neural circuitry associated with prenatal alcohol exposure. The objective of this review is to give an overview of existing data on pharmacological treatments of neurobehavioral symptoms in FASD. Our literature review yielded limited and conflicting clinical data on the effectiveness of pharmacological treatments for psychiatric symptoms in children with FASD, with some symptom domains lacking data altogether. We emphasize the need for clinical trials to guide pharmacological treatments in this complex population.

Development and validation of a postnatal risk score that identifies children with prenatal alcohol exposure.

BACKGROUND: This study aimed to develop an efficient and easily calculable risk score that can be used to identify an individual's risk of having been exposed to alcohol prenatally. METHODS: Data for this study were collected as part of the Collaborative Initiative on Fetal Alcohol Spectrum Disorders, Phases 2 and 3. Two cohorts (ages 5 to 17 years) completed a comprehensive neurobehavioral battery and a standard dysmorphology exam: a development cohort (DC; n = 325) and a comparative cohort (CC; n = 523). Both cohorts included two groups: those with histories of heavy prenatal alcohol exposure (AE-DC, n = 121; AE-CC, n = 177) and a control group that included subjects with minimal or no prenatal alcohol exposure (CON-DC, n = 204; CON-CC, n = 346). Behavioral assessments and physical exam data were combined using regression techniques to derive a risk score indicating the likelihood of prenatal alcohol exposure. Subjects were then divided into two subgroups: (1) low risk and (2) high risk. Chi-square (χ2 ) determined classification accuracy and ROC curves were produced to assess the predictive accuracy. Correlations between risk scores and intelligence quotient and executive function scores were calculated. RESULTS: Subjects were accurately classified in the DC (χ2  = 78.61, p < 0.001) and CC (χ2  = 86.63, p < 0.001). The classification model also performed well in the DC (ROC = 0.835 [SE = 0.024, p < 0.001]) and CC (ROC = 0.786 [SE = 0.021, p < 0.001]). In the AE-CC and CON-CC, there were modest but significant associations between the risk score and executive function (AE-CC: r = -0.20, p = 0.034; CON-CC: r = -0.28, p < 0.001) and intelligence quotient (AE-CC: r = -0.20, p = 0.034; CON-CC: r = -0.28, p < 0.001). CONCLUSION(S): The risk score significantly distinguished alcohol-exposed from control subjects and correlated with important cognitive outcomes. It has significant clinical potential and could be easily deployed in clinical settings.